Educators:
Dilmurat Yusuf, Bora Uyar (RBC)
Date:
29.06.2017
Location:
MDC, Berlin
Contents:
1. Basics of Galaxy: pages, histories, data libraries, workflows, libraries
2. Types of files typically used in RNA-seq analysis
3. QC (quality control) of the raw sequence data
4. Trimming the reads for quality and for adaptor sequences
5. Aligning RNA-seq reads
6. Finding differentially expressed genes
7. Functional enrichment analysis
Learning goals:
In this course we aim to give an understanding and hands-on experience of how to do file handling, input/output operations, chaining different tools to each other and being able to re-use workflows in Galaxy. We will use RNA-Seq differential expression analysis as a model to demonstrate the capabilities of Galaxy.
Prerequisites:
The target audience of this course is wet-lab biologists with limited bioinformatics skills
Keywords:
Galaxy, bioinformatics workflows, RNA-seq, differential expression
Tools:
Galaxy, FastQC, TrimGalore, Tophat, HTseq-count, DEseq2, go:Profiler
Contact:
Dilmurat Yusuf:
Bora Uyar: